2017
DOI: 10.1136/jnnp-2017-316115
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Sleep patterns in Parkinson’s disease: direct recordings from the subthalamic nucleus

Abstract: Sleep is a fundamental homeostatic process, and disorders of sleep can greatly affect quality of life. Parkinson's disease (PD) is highly comorbid for a spectrum of sleep disorders and deep brain stimulation (DBS) of the subthalamic nucleus (STN) has been reported to improve sleep architecture in PD. We studied local field potential (LFP) recordings in PD subjects undergoing STN-DBS over the course of a full-night's sleep. We examined the changes in oscillatory activity recorded from STN between ultradian slee… Show more

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Cited by 47 publications
(85 citation statements)
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“…STN has projections to sleep-regulatory centers including the thalamus, PPN, and cortex (32). Local field potential recorded from STN during sleep have shown significant differences in band-power across different stages of sleep (33), suggesting a role in the sleep regulatory network. GPi is an important output nucleus of the basal ganglia which also has projections to sleep-wake modulating centers including the thalamus and PPN.…”
Section: Resultsmentioning
confidence: 99%
“…STN has projections to sleep-regulatory centers including the thalamus, PPN, and cortex (32). Local field potential recorded from STN during sleep have shown significant differences in band-power across different stages of sleep (33), suggesting a role in the sleep regulatory network. GPi is an important output nucleus of the basal ganglia which also has projections to sleep-wake modulating centers including the thalamus and PPN.…”
Section: Resultsmentioning
confidence: 99%
“…The ability of this ANN model to accurately predict sleep stages based on STN‐LFP data recorded from novel PD patients is a critical improvement over our previously published effort to generate a predictive model. In our prior work, we used a support vector machine (SVM) model that performed well when tested on novel epochs derived from the familiar patient used to train the model but failed to generalize to novel subjects (Thompson et al., ). For simplification of model development, the different NREM stages (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…Signal processing of the raw STN LFP signals was previously described in Thompson et al. (). Briefly, after preprocessing, the four LFP channels (0, 1, 2 and 3; one recording from each of the four electrical contacts of the implant) were converted into three bipolar derivations (LFP01, LFP12 and LFP23) by sequentially referencing them.…”
Section: Methodsmentioning
confidence: 99%
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“…In order to visualize spectrotemporal dynamics of the pharmacologically modulated LFPs over long duration, artifact‐rejected time‐frequency (TF) maps were generated using short time Fourier transform . The TF maps were visualized for each bipolar pair of each trial to investigate patient‐specific transitions from the OFF to ON state.…”
Section: Methodsmentioning
confidence: 99%